Covid 19 tracking and economic impact analysis

## # A tibble: 0 x 17
## # ... with 17 variables: date <chr>, country <chr>, daily_new_cases <dbl>,
## #   cumulative_total_deaths <dbl>, cumulative_total_cases <dbl>, GDPPC <chr>,
## #   region <chr>, pop <chr>, rrank <chr>, prop_right <chr>, jud_eff <chr>,
## #   unemp <chr>, ffree <chr>, life_ex <dbl>, inf_mort <dbl>, death_rate <dbl>,
## #   infec_rate <dbl>

## Warning in FUN(X[[i]], ...): NAs introduced by coercion

## Warning in FUN(X[[i]], ...): NAs introduced by coercion

## Warning in FUN(X[[i]], ...): NAs introduced by coercion

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'